Skills
Required
data
postgresql
mongodb
technology
agile
design
storage
analytics
testing
support
controls
configuration
logical
sql
nosql
backup
database
metrics
security
management
checks
resolve
script
python
sharding
failover
training
certification
software
engineering
joins
aggregations
aggregation
indexing
replication
tuning
monitoring
encryption
aws
azure
gcp
Job
Description
Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team. As a Data Engineer III at JPMorgan Chase within the Corporate Technology , you serve as a seasoned member of an agile team to design and deliver trusted data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. You are responsible for developing, testing, and maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives. Job responsibilities Support the review of controls to ensure sufficient protection of enterprise data. Advise and make custom configuration changes in one to two tools to generate a product at the business or customer request. Update logical or physical data models based on new use cases. Frequently use SQL and understand NoSQL databases and their niche in the marketplace. Implement backup, recovery, and disaster recovery (DR) plans. Monitor database capacity, space, logs, and performance metrics. Manage database security, access control, and user privilege management. Conduct database health checks, troubleshoot, and resolve issues in real-time. Script using Shell and Python, and utilize database tools. Configure and maintain MongoDB replica sets, sharding, and failover mechanisms. Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 3+ years of applied experience. Experience across the data lifecycle Advanced at SQL (e.g., joins and aggregations) Working understanding of NoSQL databases Expertise in PostgreSQL & MongoDB DBA. Strong expertise in SQL, PL/pgSQL, and NoSQL (MongoDB queries, aggregation, and indexing). Hands-on experience with PostgreSQL replication, partitioning, and tuning. Experience managing MongoDB Atlas, Sharded Clusters, and Performance tuning. Familiarity with database monitoring tools such as Prometheus, Grafana, or CloudWatch. Strong knowledge of database security best practices and encryption techniques. Experience in automating DB tasks using Bash, Python, or Ansible. Preferred qualifications, capabilities, and skills MongoDB Certified DBA PostgreSQL Professional Certification AWS Certified Database – Specialty / Data Engineer (preferred but not mandatory) Experience working with cloud-based databases (AWS RDS, Azure Cosmos DB, GCP Cloud SQL) is a plus.
